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ICML
2007
IEEE
16 years 7 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson
ICML
1995
IEEE
16 years 7 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
BMCBI
2006
111views more  BMCBI 2006»
15 years 6 months ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
KI
2009
Springer
16 years 1 months ago
Machine Learning Techniques for Selforganizing Combustion Control
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
ICCE
2007
114views Education» more  ICCE 2007»
15 years 8 months ago
Investigating the Reuse of Course Generation Knowledge
: Course generation knowledge, i.e., how to assemble a sequence of learning objects which is adapted to a learner’s goals, competencies and preferences, is hard to assess and exp...
Carsten Ullrich, Qinghua Chen, Sushing Chen, Lipin...